Data Engineer

Data Engineer

On-site
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Key Responsibilities

  • Design, build, and maintain scalable CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Automate infrastructure provisioning and configuration using Terraform, Ansible, CloudFormation, or similar IaC tools.
  • Manage cloud infrastructure and deployments on AWS, Azure, or Google Cloud Platform (GCP).
  • Implement and maintain containerization and orchestration solutions using Docker, Kubernetes, or OpenShift.
  • Collaborate with development, QA, and product teams to streamline build, deployment, and release processes.
  • Monitor system health, performance, and availability using tools such as Prometheus, Grafana, CloudWatch, ELK Stack, or Datadog.
  • Implement best practices for infrastructure reliability, cost optimization, and scalability.
  • Ensure security and compliance for cloud workloads, including secrets management and access control.
  • Troubleshoot build, deployment, and infrastructure‑related issues with minimal downtime.
  • Support Agile/Scrum development cycles and participate in sprint planning, stand‑ups, and retrospectives.
  • Maintain documentation for DevOps processes, infrastructure, and automation workflows.
  • Continuously evaluate and integrate emerging tools and technologies to improve DevOps efficiency.

Required Skills & Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
  • 3–7+ years of hands‑on experience as a DevOps Engineer or similar role.
  • Strong experience with cloud platforms like AWS, Azure, or GCP.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Expertise with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, Azure DevOps.
  • Hands‑on experience with containerization (Docker) and orchestration (Kubernetes, EKS, AKS, GKE).
  • Strong understanding of IaC tools—Terraform, CloudFormation, Ansible.
  • Familiarity with monitoring, logging, and observability tools.
  • Good understanding of networking, Linux systems, and security practices.
  • Ability to work in fast‑paced environments and collaborate with cross‑functional teams.
  • Certifications like AWS DevOps Engineer, Azure DevOps Expert, CKA, CKAD are a plus.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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Data Engineer employer: Tek Tron IT

Join a dynamic technology consulting firm in Canada that values innovation and collaboration, offering a vibrant work culture where your ideas can thrive. As a Data Scientist & ML Engineer, you'll benefit from comprehensive training programs and mentorship opportunities that foster professional growth, all while working on cutting-edge projects in a supportive environment. Enjoy the unique advantage of being part of a team that prioritizes work-life balance and encourages creativity in solving real-world challenges.

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Contact Details:

Tek Tron IT Recruitment Team